Research on Method of Generating Clothing Images from Sketches Based on GAN

Authors

  • Yinglin Zhu School of Computer and Software Engineering, Zhengzhou University of Sias, Zhengzhou 451100, Henan, China; Henan Engineering Research Center for Intelligent Manufacturing Digital Twin, Zhengzhou 451100, Henan, China
  • Licheng Xing School of Computer and Software Engineering, Zhengzhou University of Sias, Zhengzhou 451100, Henan, China; Henan Engineering Research Center for Intelligent Manufacturing Digital Twin, Zhengzhou 451100, Henan, China
  • Shuang Wu School of Computer and Software Engineering, Zhengzhou University of Sias, Zhengzhou 451100, Henan, China; Henan Engineering Research Center for Intelligent Manufacturing Digital Twin, Zhengzhou 451100, Henan, China

Keywords:

Generating Clothing Images from Sketches, Generative Adversarial Network, Image Generation

Abstract

With the continuous development of the fashion industry and the progress of digital technology, the demand for converting sketches into target images using computers has been increasing. In the generation of clothing images from sketches, how to generate complex textures and realistic effects has always been an important challenge. This paper constructs a dataset for generating clothing images from sketches and realizes the conversion from sketches to clothing images based on the generative adversarial network model. Experimental results show that this method can effectively generate clothing images from sketches, and the generated images have clear textures and high fidelity.

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Published

2026-08-18

Issue

Section

Articles